Split (1)

train · 203k rows

node_id int64 0 76.9k	label int64 0 39	text stringlengths 13 124k	neighbors listlengths 0 3.32k	mask stringclasses 4 values
37,678	16	Title: TextFormer: A Query-based End-to-End Text Spotter with Mixed Supervision Abstract: End-to-end text spotting is a vital computer vision task that aims to integrate scene text detection and recognition into a unified framework. Typical methods heavily rely on Region-of-Interest (RoI) operations to extract local fe...	[ 4025, 40459, 279 ]	Train
37,679	24	Title: Tight Bounds for $\gamma$-Regret via the Decision-Estimation Coefficient Abstract: In this work, we give a statistical characterization of the $\gamma$-regret for arbitrary structured bandit problems, the regret which arises when comparing against a benchmark that is $\gamma$ times the optimal solution. The $\ga...	[ 24338 ]	Validation
37,680	24	Title: Accelerating Diffusion-based Combinatorial Optimization Solvers by Progressive Distillation Abstract: Graph-based diffusion models have shown promising results in terms of generating high-quality solutions to NP-complete (NPC) combinatorial optimization (CO) problems. However, those models are often inefficient ...	[ 41879 ]	Train
37,681	9	Title: A note on the partition bound for one-way classical communication complexity Abstract: We present a linear program for the one-way version of the partition bound (denoted $\mathsf{prt}^1_\varepsilon(f)$). We show that it characterizes one-way randomized communication complexity $\mathsf{R}_\varepsilon^1(f)$ with...	[]	Train
37,682	38	Title: Interdisciplinary Papers Supported by Disciplinary Grants Garner Deep and Broad Scientific Impact Abstract: Interdisciplinary research has emerged as a hotbed for innovation and discoveries. The increasing dominance of grant-supported research, combined with growing interest in funding interdisciplinary work, ra...	[]	Train
37,683	26	Title: Optimizing Utility-Energy Efficiency for the Metaverse over Wireless Networks under Physical Layer Security Abstract: The Metaverse, an emerging digital space, is expected to offer various services mirroring the real world. Wireless communications for mobile Metaverse users should be tailored to meet the followi...	[ 17396 ]	Train
37,684	30	Title: Witscript 3: A Hybrid AI System for Improvising Jokes in a Conversation Abstract: Previous papers presented Witscript and Witscript 2, AI systems for improvising jokes in a conversation. Witscript generates jokes that rely on wordplay, whereas the jokes generated by Witscript 2 rely on common sense. This paper e...	[ 11382, 26316, 19778, 1238 ]	Train
37,685	27	Title: GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy Abstract: Due to the inherent uncertainty in their deformability during motion, previous methods in deformable object manipulation, such as rope and cloth, often required hundreds of real-world demonstrations to train a man...	[ 17701 ]	Train
37,686	9	Title: How to Compress the Solution Abstract: Using derandomization, we provide an upper bound on the compression size of solutions to the graph coloring problem. In general, if solutions to a combinatorial problem exist with high probability and the probability is simple, then there exists a simple solution to the pro...	[]	Test
37,687	24	Title: Separable Hamiltonian Neural Networks Abstract: The modelling of dynamical systems from discrete observations is a challenge faced by modern scientific and engineering data systems. Hamiltonian systems are one such fundamental and ubiquitous class of dynamical systems. Hamiltonian neural networks are state-of-th...	[]	Validation
37,688	16	Title: BPNet: Bézier Primitive Segmentation on 3D Point Clouds Abstract: This paper proposes BPNet, a novel end-to-end deep learning framework to learn Bézier primitive segmentation on 3D point clouds. The existing works treat different primitive types separately, thus limiting them to finite shape categories. To addre...	[]	Train
37,689	16	Title: Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation Abstract: Given the prevalence of 3D medical imaging technologies such as MRI and CT that are widely used in diagnosing and treating diverse diseases, 3D segmentation is one of the fundamental task...	[ 39812 ]	Train
37,690	25	Title: Few-shot Class-incremental Audio Classification Using Adaptively-refined Prototypes Abstract: New classes of sounds constantly emerge with a few samples, making it challenging for models to adapt to dynamic acoustic environments. This challenge motivates us to address the new problem of few-shot class-incrementa...	[]	Test
37,691	10	Title: Revolutionizing Agrifood Systems with Artificial Intelligence: A Survey Abstract: With the world population rapidly increasing, transforming our agrifood systems to be more productive, efficient, safe, and sustainable is crucial to mitigate potential food shortages. Recently, artificial intelligence (AI) techniq...	[]	Test
37,692	24	Title: ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation Abstract: Score distillation sampling (SDS) has shown great promise in text-to-3D generation by distilling pretrained large-scale text-to-image diffusion models, but suffers from over-saturation, over-smoothing, ...	[ 2583, 15393, 41637, 2860, 16562, 11573, 44726, 40888, 33977, 13498, 11450, 22464, 3912, 5580, 29389, 11473, 11474, 6739, 15721, 11505, 14842 ]	Validation
37,693	28	Title: Multipolar Acoustic Source Reconstruction from Sparse Far-Field Data using ALOHA Abstract: The reconstruction of multipolar acoustic or electromagnetic sources from their far-field radiation patterns plays a crucial role in numerous practical applications. Most of the existing techniques for source reconstructio...	[]	Test
37,694	16	Title: NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes Abstract: With the introduction of Neural Radiance Fields (NeRFs), novel view synthesis has recently made a big leap forward. At the core, NeRF proposes that each 3D point can emit radiance, allowing to conduct view synthesis us...	[ 37769, 32762, 10651, 17075 ]	Train
37,695	16	Title: MVPSNet: Fast Generalizable Multi-view Photometric Stereo Abstract: We propose a fast and generalizable solution to Multi-view Photometric Stereo (MVPS), called MVPSNet. The key to our approach is a feature extraction network that effectively combines images from the same view captured under multiple lighting co...	[]	Train
37,696	16	Title: HiFiHR: Enhancing 3D Hand Reconstruction from a Single Image via High-Fidelity Texture Abstract: We present HiFiHR, a high-fidelity hand reconstruction approach that utilizes render-and-compare in the learning-based framework from a single image, capable of generating visually plausible and accurate 3D hand mesh...	[ 16845 ]	Train
37,697	24	Title: Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models Abstract: Due to the ease of training, ability to scale, and high sample quality, diffusion models (DMs) have become the preferred option for generative modeling, with numerous pre-trained models available for a wide...	[ 21152, 43881, 37299 ]	Train
37,698	4	Title: Information-Based Heavy Hitters for Real-Time DNS Data Exfiltration Detection and Prevention Abstract: Data exfiltration over the DNS protocol and its detection have been researched extensively in recent years. Prior studies focused on offline detection methods, which although capable of detecting attacks, allow...	[]	Train
37,699	24	Title: TsSHAP: Robust model agnostic feature-based explainability for time series forecasting Abstract: A trustworthy machine learning model should be accurate as well as explainable. Understanding why a model makes a certain decision defines the notion of explainability. While various flavors of explainability have be...	[]	Test
37,700	5	Title: Modeling Parallel Programs using Large Language Models Abstract: Parallel software codes in high performance computing (HPC) continue to grow in complexity and scale as we enter the exascale era. A diverse set of emerging hardware and programming paradigms make developing, optimizing, and maintaining parallel so...	[ 24329, 35706, 32604, 11190 ]	Test
37,701	4	Title: A Universal Identity Backdoor Attack against Speaker Verification based on Siamese Network Abstract: Speaker verification has been widely used in many authentication scenarios. However, training models for speaker verification requires large amounts of data and computing power, so users often use untrustworthy t...	[]	Test
37,702	10	Title: Disagreement amongst counterfactual explanations: How transparency can be deceptive Abstract: Counterfactual explanations are increasingly used as an Explainable Artificial Intelligence (XAI) technique to provide stakeholders of complex machine learning algorithms with explanations for data-driven decisions. The...	[ 27044, 4748, 45978 ]	Train
37,703	30	Title: Listener Model for the PhotoBook Referential Game with CLIPScores as Implicit Reference Chain Abstract: PhotoBook is a collaborative dialogue game where two players receive private, partially-overlapping sets of images and resolve which images they have in common.It presents machines with a great challenge to le...	[]	Test
37,704	24	Title: Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection Abstract: Massive key performance indicators (KPIs) are monitored as multivariate time series data (MTS) to ensure the reliability of the software applications and service system. Accurately detecting the abnormality of MTS is very critica...	[]	Train
37,705	4	Title: It Is Rude to Ask a Sensor Its Age-of-Information: Status Updates Against an Eavesdropping Node Abstract: We consider periodical status updates between a transmitter and a legitimate receiver, in the presence of an eavesdropper that is sometimes able to capture pieces of information. We assume that, in the absen...	[]	Validation
37,706	16	Title: High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation Abstract: Accurate depth maps are essential in various applications, such as autonomous driving, scene reconstruction, point-cloud creation, etc. However, monocular-depth estimation (MDE) algorithms often fail to provide enough texture & sha...	[ 9855 ]	Validation
37,707	28	Title: Bayesian Inverse Contextual Reasoning for Heterogeneous Semantics-Native Communication Abstract: This work deals with the heterogeneous semantic-native communication (SNC) problem. When agents do not share the same communication context, the effectiveness of contextual reasoning (CR) is compromised calling for a...	[]	Test
37,708	16	Title: Semantic Graph Representation Learning for Handwritten Mathematical Expression Recognition Abstract: nan	[]	Test
37,709	24	Title: Variational Diffusion Auto-encoder: Latent Space Extraction from Pre-trained Diffusion Models Abstract: As a widely recognized approach to deep generative modeling, Variational Auto-Encoders (VAEs) still face challenges with the quality of generated images, often presenting noticeable blurriness. This issue stem...	[]	Train
37,710	24	Title: Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations Abstract: Understanding agent behaviour in Multi-Agent Systems (MAS) is an important problem in domains such as autonomous driving, disaster response, and sports analytics. Existing MAS problems typically use un...	[]	Train
37,711	27	Title: Constrained Reinforcement Learning for Dexterous Manipulation Abstract: Existing learning approaches to dexterous manipulation use demonstrations or interactions with the environment to train black-box neural networks that provide little control over how the robot learns the skills or how it would perform post t...	[]	Train
37,712	10	Title: A Formal Metareasoning Model of Concurrent Planning and Execution Abstract: Agents that plan and act in the real world must deal with the fact that time passes as they are planning. When timing is tight, there may be insufficient time to complete the search for a plan before it is time to act. By commencing exec...	[]	Validation
37,713	24	Title: Deep reinforcement learning applied to an assembly sequence planning problem with user preferences Abstract: nan	[ 2733 ]	Test
37,714	16	Title: WIRE: Wavelet Implicit Neural Representations Abstract: Implicit neural representations (INRs) have recently advanced numerous vision-related areas. INR performance depends strongly on the choice of activation function employed in its MLP network. A wide range of nonlinearities have been explored, but, unfortuna...	[ 11889, 25003, 17716 ]	Train
37,715	24	Title: PFNs4BO: In-Context Learning for Bayesian Optimization Abstract: In this paper, we use Prior-data Fitted Networks (PFNs) as a flexible surrogate for Bayesian Optimization (BO). PFNs are neural processes that are trained to approximate the posterior predictive distribution (PPD) through in-context learning on any...	[]	Validation
37,716	16	Title: A data augmentation perspective on diffusion models and retrieval Abstract: Diffusion models excel at generating photorealistic images from text-queries. Naturally, many approaches have been proposed to use these generative abilities to augment training datasets for downstream tasks, such as classification. Howe...	[ 45104, 41178, 24418, 12764 ]	Train
37,717	16	Title: Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation Abstract: Weakly Supervised Semantic Segmentation (WSSS) with image-level labels has long been suffering from fragmentary object regions led by Class Activation Map (CAM), which is incapable of generating fine-graine...	[]	Test
37,718	30	Title: Applying Automated Machine Translation to Educational Video Courses Abstract: We studied the capability of automated machine translation in the online video education space by automatically translating Khan Academy videos with state-of-the-art translation models and applying text-to-speech synthesis and audio/vi...	[]	Test
37,719	24	Title: Mind the Label Shift of Augmentation-based Graph OOD Generalization Abstract: Out-of-distribution (OOD) generalization is an important issue for Graph Neural Networks (GNNs). Recent works employ different graph editions to generate augmented environments and learn an invariant GNN for generalization. However, th...	[ 15414, 21790 ]	Train
37,720	10	Title: Enhancing SMT-based Weighted Model Integration by Structure Awareness Abstract: The development of efficient exact and approximate algorithms for probabilistic inference is a long-standing goal of artificial intelligence research. Whereas substantial progress has been made in dealing with purely discrete or pure...	[]	Train
37,721	30	Title: FERMAT: An Alternative to Accuracy for Numerical Reasoning Abstract: While pre-trained language models achieve impressive performance on various NLP benchmarks, they still struggle with tasks that require numerical reasoning. Recent advances in improving numerical reasoning are mostly achieved using very large l...	[ 34981 ]	Test
37,722	30	Title: EmoUS: Simulating User Emotions in Task-Oriented Dialogues Abstract: Existing user simulators (USs) for task-oriented dialogue systems only model user behaviour on semantic and natural language levels without considering the user persona and emotions. Optimising dialogue systems with generic user policies, which...	[]	Validation
37,723	28	Title: On LCP and checkable group codes over finite non-commutative Frobenius rings Abstract: We provide a simple proof for a complementary pair of group codes over a finite non-commutative Frobenius ring of the fact that one of them is equivalent to the other one. We also explore this fact for checkeable codes over th...	[]	Train
37,724	30	Title: Curating corpora with classifiers: A case study of clean energy sentiment online Abstract: Well curated, large-scale corpora of social media posts containing broad public opinion offer an alternative data source to complement traditional surveys. While surveys are effective at collecting representative samples a...	[ 39642, 35434 ]	Train
37,725	27	Title: Model Based Position Control of Soft Hydraulic Actuators Abstract: In this article, we investigate the model based position control of soft hydraulic actuators arranged in an an-tagonistic pair. A dynamical model of the system is constructed by employing the port-Hamiltonian formulation. A control algorithm is d...	[]	Validation
37,726	38	Title: Chatbots and ChatGPT: A Bibliometric Analysis and Systematic Review of Publications in Web of Science and Scopus Databases Abstract: This paper presents a bibliometric analysis of the scientific literature related to chatbots, focusing specifically on ChatGPT. Chatbots have gained increasing attention recently, ...	[ 36635, 8118 ]	Test
37,727	24	Title: Identifying Subgroups of ICU Patients Using End-to-End Multivariate Time-Series Clustering Algorithm Based on Real-World Vital Signs Data Abstract: This study employed the MIMIC-IV database as data source to investigate the use of dynamic, high-frequency, multivariate time-series vital signs data, including temp...	[]	Validation
37,728	30	Title: Multi-modal Representation Learning for Social Post Location Inference Abstract: Inferring geographic locations via social posts is essential for many practical location-based applications such as product marketing, point-of-interest recommendation, and infector tracking for COVID-19. Unlike image-based location...	[]	Validation
37,729	10	Title: Heuristics for Vehicle Routing Problem: A Survey and Recent Advances Abstract: Vehicle routing is a well-known optimization research topic with significant practical importance. Among different approaches to solving vehicle routing, heuristics can produce a satisfactory solution at a reasonable computational cos...	[]	Train
37,730	16	Title: Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations Abstract: We study pseudo labelling and its generalisation for semi-supervised segmentation of medical images. Pseudo labelling has achieved great empirical successes in semi-supervised learning, by utilising raw inferences on un...	[]	Train
37,731	28	Title: Spherical Wavefronts Improve MU-MIMO Spectral Efficiency When Using Electrically Large Arrays Abstract: Modern multiple-input multiple-output (MIMO) communication systems are almost exclusively designed assuming locally plane wavefronts over antenna arrays. This is known as the far-field approximation and is sou...	[ 6809, 14941, 7630 ]	Train
37,732	30	Title: Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs Abstract: Large Language Models (LLMs) have proven their exceptional capabilities in performing language-related tasks. However, their deployment poses significant challenges due to their considerable memory and storage requirement...	[ 16866, 6979, 13700, 5649, 1234, 1141, 16662, 5815, 17429, 43641, 41244 ]	Test
37,733	6	Title: VR Haptics at Home: Repurposing Everyday Objects and Environment for Casual and On-Demand VR Haptic Experiences Abstract: This paper introduces VR Haptics at Home, a method of repurposing everyday objects in the home to provide casual and on-demand haptic experiences. Current VR haptic devices are often expensiv...	[]	Validation
37,734	27	Title: SEIP: Simulation-based Design and Evaluation of Infrastructure-based Collective Perception Abstract: Recent advances in sensing and communication have paved the way for collective perception in traffic management, with real-time data sharing among multiple entities. While vehicle-based collective perception has ...	[]	Test
37,735	24	Title: Self Expanding Neural Networks Abstract: The results of training a neural network are heavily dependent on the architecture chosen; and even a modification of only the size of the network, however small, typically involves restarting the training process. In contrast to this, we begin training with a small archi...	[]	Train
37,736	16	Title: L2, 1-Norm Regularized Quaternion Matrix Completion Using Sparse Representation and Quaternion QR Decomposition Abstract: Color image completion is a challenging problem in computer vision, but recent research has shown that quaternion representations of color images perform well in many areas. These representat...	[]	Test
37,737	23	Title: Open Design Case Study - A Crowdsourcing Effort to Curate Software Design Case Studies Abstract: Case study-based learning has been successfully integrated into various courses, including software engineering education. In the context of software design courses, the use of case studies often entails sharing of r...	[]	Train
37,738	23	Title: Automating Code-Related Tasks Through Transformers: The Impact of Pre-training Abstract: Transformers have gained popularity in the software engineering (SE) literature. These deep learning models are usually pre-trained through a self-supervised objective, meant to provide the model with basic knowledge about a...	[ 14296 ]	Test
37,739	24	Title: Fast and Regret Optimal Best Arm Identification: Fundamental Limits and Low-Complexity Algorithms Abstract: This paper considers a stochastic multi-armed bandit (MAB) problem with dual objectives: (i) quick identification and commitment to the optimal arm, and (ii) reward maximization throughout a sequence of $T...	[]	Train
37,740	6	Title: “What It Wants Me To Say”: Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models Abstract: Code-generating large language models map natural language to code. However, only a small portion of the infinite space of naturalistic utterances is effective at guiding code ...	[ 16464, 45362, 28221, 11190 ]	Validation
37,741	17	Title: Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling Abstract: Anterior segment optical coherence tomography (AS-OCT) is a non-invasive imaging technique that is highly valuable for ophthalmic diagnosis. However, speckles in AS-OCT images can often degrade the image quality and affect cli...	[]	Train
37,742	10	Title: Voyager: An Open-Ended Embodied Agent with Large Language Models Abstract: We introduce Voyager, the first LLM-powered embodied lifelong learning agent in Minecraft that continuously explores the world, acquires diverse skills, and makes novel discoveries without human intervention. Voyager consists of three key...	[ 13700, 3333, 40453, 30087, 11273, 23307, 14991, 8084, 20756, 21782, 10783, 22816, 3745, 32036, 16556, 23853, 4270, 24238, 17328, 29612, 6962, 18227, 26162, 35250, 34105, 33210, 39613, 16837, 13510, 33477, 31817, 34637, 14031, 18767, 41425, 31956,...	Train
37,743	30	Title: Optimizing Machine Translation through Prompt Engineering: An Investigation into ChatGPT's Customizability Abstract: This paper explores the influence of integrating the purpose of the translation and the target audience into prompts on the quality of translations produced by ChatGPT. Drawing on previous transla...	[ 14368, 3449, 26068, 1789 ]	Train
37,744	36	Title: Iterated Elimination of Weakly Dominated Strategies in Well-Founded Games Abstract: Recently, in [K.R. Apt and S. Simon: Well-founded extensive games with perfect information, TARK21], we studied well-founded games, a natural extension of finite extensive games with perfect information in which all plays are fin...	[]	Validation
37,745	24	Title: FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software Abstract: Software built on top of machine learning algorithms is becoming increasingly prevalent in a variety of fields, including college admissions, healthcare, insurance, and justice. The effectiveness and efficiency o...	[]	Train
37,746	30	Title: Constructing Holistic Measures for Social Biases in Masked Language Models Abstract: Masked Language Models (MLMs) have been successful in many natural language processing tasks. However, real-world stereotype biases are likely to be reflected in MLMs due to their learning from large text corpora. Most of the ev...	[]	Train
37,747	3	Title: Digital technologies in the context of university transition and disability: Theoretical and empirical advances Abstract: Since transition to higher education emerged as a research topic in the early 1970s, scholarly inquiry has focused on students without impairments and, what is more, little attention has been...	[]	Test
37,748	24	Title: Tackling Unbounded State Spaces in Continuing Task Reinforcement Learning Abstract: While deep reinforcement learning (RL) algorithms have been successfully applied to many tasks, their inability to extrapolate and strong reliance on episodic resets inhibits their applicability to many real-world settings. For i...	[ 22816 ]	Test
37,749	16	Title: DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models Abstract: Given a classifier, the inherent property of semantic Out-of-Distribution (OOD) samples is that their contents differ from all legal classes in terms of semantics, namely semantic mismatch. There is a r...	[ 34074 ]	Train
37,750	30	Title: Automatic Glossary of Clinical Terminology: a Large-Scale Dictionary of Biomedical Definitions Generated from Ontological Knowledge Abstract: Background: More than 400.000 biomedical concepts and some of their relationships are contained in SnomedCT, a comprehensive biomedical ontology. However, their concept na...	[ 2779 ]	Validation
37,751	24	Title: MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics Abstract: Gradient-based meta-learning methods have primarily been applied to classical machine learning tasks such as image classification. Recently, PDE-solving deep learning methods, such as neural operators, are starting to make an important i...	[]	Train
37,752	16	Title: Revisiting Class Imbalance for End-to-end Semi-Supervised Object Detection Abstract: Semi-supervised object detection (SSOD) has made significant progress with the development of pseudo-label-based end-to-end methods. However, many of these methods face challenges due to class imbalance, which hinders the effect...	[ 19400 ]	Train
37,753	23	Title: Towards Human-Centred Crowd Computing: Software for Better Use of Computational Resources Abstract: Internet-connected smart devices are increasing at an exponential rate. These powerful devices have created a yet-untapped pool of idle resources that can be utilised, among others, for processing data in resource...	[]	Train
37,754	27	Title: Hierarchical Time-Optimal Planning for Multi-Vehicle Racing Abstract: This paper presents a hierarchical planning algorithm for racing with multiple opponents. The two-stage approach consists of a high-level behavioral planning step and a low-level optimization step. By combining discrete and continuous planning...	[ 40356 ]	Validation
37,755	5	Title: How To Optimize My Blockchain? A Multi-Level Recommendation Approach Abstract: Aside from the conception of new blockchain architectures, existing blockchain optimizations in the literature primarily focus on system or data-oriented optimizations within prevailing blockchains. However, since blockchains handle m...	[]	Validation
37,756	27	Title: A Data-Efficient Approach for Long-Term Human Motion Prediction Using Maps of Dynamics Abstract: Human motion prediction is essential for the safe and smooth operation of mobile service robots and intelligent vehicles around people. Commonly used neural network-based approaches often require large amounts of com...	[]	Test
37,757	13	Title: Hybrid Genetic Algorithm and Hill Climbing Optimization for the Neural Network Abstract: In this paper, we propose a hybrid model combining genetic algorithm and hill climbing algorithm for optimizing Convolutional Neural Networks (CNNs) on the CIFAR-100 dataset. The proposed model utilizes a population of chrom...	[]	Test
37,758	21	Title: IoT Based Smart Attendance System Using Rfid: A Systematic Literature Review Abstract: The use of Radio Frequency Identification (RFID) technology is ubiquitous in a number of businesses and sectors, including retail sales, smart cities, agriculture, and transportation. Additionally, educational institutions hav...	[]	Test
37,759	28	Title: Best Arm Identification Based Beam Acquisition in Stationary and Abruptly Changing Environments Abstract: We study the initial beam acquisition problem in millimeter wave (mm-wave) networks from the perspective of best arm identification in multi-armed bandits (MABs). For the stationary environment, we propose a...	[]	Train
37,760	39	Title: Lower Bounds on the Complexity of Mixed-Integer Programs for Stable Set and Knapsack Abstract: Standard mixed-integer programming formulations for the stable set problem on $n$-node graphs require $n$ integer variables. We prove that this is almost optimal: We give a family of $n$-node graphs for which every pol...	[]	Validation
37,761	27	Title: Guided Learning from Demonstration for Robust Transferability Abstract: Learning from demonstration (LfD) has the potential to greatly increase the applicability of robotic manipulators in modern industrial applications. Recent progress in LfD methods have put more emphasis in learning robustness than in guiding...	[]	Train
37,762	10	Title: ChatGPT Hallucinates when Attributing Answers Abstract: Can ChatGPT provide evidence to support its answers? Does the evidence it suggests actually exist and does it really support its answer? We investigate these questions using a collection of domain-specific knowledge-based questions, specifically prompting C...	[ 39, 30026, 35824, 29109, 889, 43930 ]	Train
37,763	27	Title: Introspective Perception for Mobile Robots Abstract: Perception algorithms that provide estimates of their uncertainty are crucial to the development of autonomous robots that can operate in challenging and uncontrolled environments. Such perception algorithms provide the means for having risk-aware robots that ...	[]	Train
37,764	33	Title: A Coalgebraic Approach to Reducing Finitary Automata Abstract: Compact representations of automata are important for efficiency. In this paper, we study methods to compute reduced automata, in which no two states accept the same language. We do this for finitary automata (FA), an abstract definition that encompa...	[]	Train
37,765	16	Title: VideoChat: Chat-Centric Video Understanding Abstract: In this study, we initiate an exploration into video understanding by introducing VideoChat, an end-to-end chat-centric video understanding system. It integrates video foundation models and large language models via a learnable neural interface, excelling in ...	[ 10624, 17281, 5123, 13700, 14086, 45452, 41104, 37778, 3609, 30745, 42270, 19747, 30243, 42749, 10163, 40883, 44981, 39733, 45116, 18621, 1854, 969, 14281, 38858, 5969, 9810, 29527, 5720, 7384, 19677, 41183, 37987, 42983, 872, 1900, 20588, 8558...	Train
37,766	16	Title: Anticipating Driving Behavior through Deep Learning-Based Policy Prediction Abstract: In this endeavor, we developed a comprehensive system that processes integrated visual features derived from video frames captured by a regular camera, along with depth details obtained from a point cloud scanner. This system i...	[ 39280, 45777, 20319 ]	Test
37,767	16	Title: Deeply Coupled Cross-Modal Prompt Learning Abstract: Recent advancements in multimodal foundation models (e.g., CLIP) have excelled in zero-shot generalization. Prompt tuning involved in the knowledge transfer from foundation models to downstream tasks has gained significant attention recently. Existing prompt-t...	[ 19909 ]	Train
37,768	25	Title: Non Intrusive Intelligibility Predictor for Hearing Impaired Individuals using Self Supervised Speech Representations Abstract: Self-supervised speech representations (SSSRs) have been successfully applied to a number of speech-processing tasks, e.g. as feature extractor for speech quality (SQ) prediction, which...	[ 7112, 20220 ]	Train
37,769	27	Title: Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use cases Abstract: The proliferation of technologies, such as extended reality (XR), has increased the demand for high-quality three-dimensional (3D) graphical representations. Industrial 3D applications encom...	[ 33088, 31586, 23014, 40527, 7224, 36793, 36218, 37308, 541, 37694 ]	Test
37,770	24	Title: Data-Efficient Energy-Aware Participant Selection for UAV-Enabled Federated Learning Abstract: Unmanned aerial vehicle (UAV)-enabled edge federated learning (FL) has sparked a rise in research interest as a result of the massive and heterogeneous data collected by UAVs, as well as the privacy concerns related to...	[]	Train
37,771	28	Title: Age of Incorrect Information With Hybrid ARQ Under a Resource Constraint for N-ary Symmetric Markov Sources Abstract: The Age of Incorrect Information (AoII) is a recently proposed metric for real-time remote monitoring systems. In particular, AoII measures the time the information at the monitor is incorrect, w...	[ 44454 ]	Train
37,772	10	Title: Discrete Versus Continuous Algorithms in Dynamics of Affective Decision Making Abstract: The dynamics of affective decision making is considered for an intelligent network composed of agents with different types of memory: long-term and short-term memory. The consideration is based on probabilistic affective dec...	[]	Train
37,773	4	Title: Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics Abstract: Blockchain provides the unique and accountable channel for financial forensics by mining its open and immutable transaction data. A recent surge has been witnessed by training machine learning models w...	[]	Validation
37,774	24	Title: On Differentially Private Online Predictions Abstract: In this work we introduce an interactive variant of joint differential privacy towards handling online processes in which existing privacy definitions seem too restrictive. We study basic properties of this definition and demonstrate that it satisfies (suita...	[]	Validation
37,775	30	Title: Lost in Translation: Large Language Models in Non-English Content Analysis Abstract: In recent years, large language models (e.g., Open AI's GPT-4, Meta's LLaMa, Google's PaLM) have become the dominant approach for building AI systems to analyze and generate language online. However, the automated systems that i...	[ 14287 ]	Train
37,776	16	Title: Towards End-to-end Semi-supervised Learning for One-stage Object Detection Abstract: Semi-supervised object detection (SSOD) is a research hot spot in computer vision, which can greatly reduce the requirement for expensive bounding-box annotations. Despite great success, existing progress mainly focuses on two-s...	[ 19400 ]	Train
37,777	30	Title: Empower Your Model with Longer and Better Context Comprehension Abstract: Recently, with the emergence of numerous Large Language Models (LLMs), the implementation of AI has entered a new era. Irrespective of these models' own capacity and structure, there is a growing demand for LLMs to possess enhanced compreh...	[ 41104, 33220, 13700, 109 ]	Test

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